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Edge Strategy Designer

tradermonty/claude-trading-skills

Bridges the gap between high-level edge hypotheses and concrete strategy specifications by generating multiple risk-calibrated variants (conservative, balanced, aggressive) from your edge_concepts.yaml file. The main value is the hypothesis-type-aware exit calibration: breakout strategies get different stop-loss and reward-to-risk parameters than panic reversals or earnings drift plays. It clamps reward-to-risk at 1.5 minimum to avoid downstream validation failures and can optionally export v1-ready ticket YAMLs that plug straight into the edge-candidate-agent export pipeline. Useful when you've synthesized concepts and need testable strategy specs without manually tuning exits for each hypothesis type.

skills.sh installs
3.6K
GitHub stars
3.7K
last updated
Aug 21, 2026
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Install

$ npx -y skills add tradermonty/claude-trading-skills --skill edge-strategy-designer --agent claude-code

Installs into .claude/skills of the current project.

Files

Edge Strategy Designer

Overview

Translate concept-level hypotheses into concrete strategy draft specs. This skill sits after concept synthesis and before pipeline export validation.

When to Use

  • You have edge_concepts.yaml and need strategy candidates.
  • You want multiple variants (core/conservative/research-probe) per concept.
  • You want optional exportable ticket files for interface v1 families.

Prerequisites

  • Python 3.9+
  • PyYAML
  • edge_concepts.yaml produced by concept synthesis

Output

  • strategy_drafts/*.yaml
  • strategy_drafts/run_manifest.json
  • Optional exportable_tickets/*.yaml for downstream export_candidate.py

Workflow

SKILL.md on GitHub

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Details

Repository
github.com/tradermonty/claude-trading-skills
Categories
Backend & APIs, AI & Agent Building, Finance & Trading
First seen
Jun 3, 2026

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